Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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ReserarchID
9121Q
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
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Neural Networks and Rules-based Systems used to Find Rational and
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Effort towards retaining committed of regular non-academic staff has remained a recurrent concern, indicating that, employees’ commitment among university workers, could have been compromised. However, even when investigated into, more extrinsic and less intrinsic factors are applied to determine the commitment. Hence, the study approached this gap from job-characteristics dimensions to employee continuance commitment. The cross-sectional survey research design was adopted and, data collected from 377 regular non-academic staff using validated and reliable copies of a questionnaire. Multiple regression analysis was applied as the inferential statistics. Results from multiple regression analysis conducted found that jobcharacteristics dimensions had a significant effect on employee continuance commitment [R = 0.726, F(5, 371) = 78.081, p< 0.05]. Also, task identity, task significance, and feedback had a significant positive effect on continuance commitment. On the strength of the statistical findings, it was recommended for management emphasize on task identify, significance and, feedback to enable continuance commitment of non-academic staff.
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